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#!/usr/bin/env python3 |
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import subprocess |
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from pyquery import PyQuery # install using `pip install pyquery` |
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import json |
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import os |
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# original code https://gist.github.com/Surendrajat/ff3876fd2166dd86fb71180f4e9342d7 |
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# weather icons |
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weather_icons = { |
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"sunnyDay": "", |
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"clearNight": "", |
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"cloudyFoggyDay": "", |
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"cloudyFoggyNight": "", |
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"rainyDay": "", |
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"rainyNight": "", |
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"snowyIcyDay": "", |
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"snowyIcyNight": "", |
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"severe": "", |
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"default": "", |
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} |
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# get location_id |
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# to get your own location_id, go to https://weather.com & search your location. |
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# once you choose your location, you can see the location_id in the URL(64 chars long hex string) |
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# like this: https://weather.com/en-PH/weather/today/l/bca47d1099e762a012b9a139c36f30a0b1e647f69c0c4ac28b537e7ae9c1c200 |
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location_id = "bca47d1099e762a012b9a139c36f30a0b1e647f69c0c4ac28b537e7ae9c1c200" # TODO |
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# NOTE to change to deg F, change the URL to your preffered location after weather.com |
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# Default is English-Philippines with Busan, South Korea as location_id |
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# get html page |
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url = "https://weather.com/en-PH/weather/today/l/" + location_id |
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html_data = PyQuery(url=url) |
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# current temperature |
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temp = html_data("span[data-testid='TemperatureValue']").eq(0).text() |
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# print(temp) |
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# current status phrase |
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status = html_data("div[data-testid='wxPhrase']").text() |
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status = f"{status[:16]}.." if len(status) > 17 else status |
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# print(status) |
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# status code |
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status_code = html_data("#regionHeader").attr("class").split(" ")[2].split("-")[2] |
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# print(status_code) |
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# status icon |
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icon = ( |
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weather_icons[status_code] |
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if status_code in weather_icons |
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else weather_icons["default"] |
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) |
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# print(icon) |
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# temperature feels like |
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temp_feel = html_data( |
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"div[data-testid='FeelsLikeSection'] > span > span[data-testid='TemperatureValue']" |
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).text() |
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temp_feel_text = f"Feels like {temp_feel}c" |
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# print(temp_feel_text) |
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# min-max temperature |
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temp_min = ( |
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html_data("div[data-testid='wxData'] > span[data-testid='TemperatureValue']") |
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.eq(1) |
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.text() |
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) |
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temp_max = ( |
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html_data("div[data-testid='wxData'] > span[data-testid='TemperatureValue']") |
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.eq(0) |
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.text() |
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) |
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temp_min_max = f" {temp_min}\t\t {temp_max}" |
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# print(temp_min_max) |
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# wind speed |
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wind_speed = html_data("span[data-testid='Wind']").text().split("\n")[1] |
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wind_text = f" {wind_speed}" |
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# print(wind_text) |
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# humidity |
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humidity = html_data("span[data-testid='PercentageValue']").text() |
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humidity_text = f" {humidity}" |
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# print(humidity_text) |
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# visibility |
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visbility = html_data("span[data-testid='VisibilityValue']").text() |
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visbility_text = f" {visbility}" |
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# print(visbility_text) |
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# air quality index |
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air_quality_index = html_data("text[data-testid='DonutChartValue']").text() |
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# print(air_quality_index) |
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# hourly rain prediction |
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prediction = html_data("section[aria-label='Hourly Forecast']")( |
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"div[data-testid='SegmentPrecipPercentage'] > span" |
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).text() |
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prediction = prediction.replace("Chance of Rain", "") |
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prediction = f"\n\n (hourly) {prediction}" if len(prediction) > 0 else prediction |
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# print(prediction) |
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# tooltip text |
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tooltip_text = str.format( |
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"\t\t{}\t\t\n{}\n{}\n{}\n\n{}\n{}\n{}{}", |
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f'<span size="xx-large">{temp}</span>', |
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f"<big> {icon}</big>", |
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f"<b>{status}</b>", |
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f"<small>{temp_feel_text}</small>", |
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f"<b>{temp_min_max}</b>", |
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f"{wind_text}\t{humidity_text}", |
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f"{visbility_text}\tAQI {air_quality_index}", |
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f"<i> {prediction}</i>", |
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) |
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# print waybar module data |
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out_data = { |
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"text": f"{icon} {temp}", |
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"alt": status, |
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"tooltip": tooltip_text, |
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"class": status_code, |
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} |
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print(json.dumps(out_data)) |
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simple_weather =f"{icon} {status}\n" + \ |
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f" {temp} ({temp_feel_text})\n" + \ |
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f"{wind_text} \n" + \ |
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f"{humidity_text} \n" + \ |
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f"{visbility_text} AQI{air_quality_index}\n" |
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try: |
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with open(os.path.expanduser("~/.cache/.weather_cache"), "w") as file: |
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file.write(simple_weather) |
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except: |
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pass
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